output
20042026
most citedSurprised by the Hot Hand Fallacy? A Truth in the Law of Small Numbers

185 citations

53 papers

cs.LG2026

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks

Sheng Lun Christine Cao, Destenie Nock, Alex Davis

Discrete choice modeling is a common tool used for preference elicitation during policy-making, but this is typically done through parametric models. Machine learning can push the…

cs.SD2025★ 106 cited

Comparative Evaluation of Text and Audio Simplification: A Methodological Replication Study

Prosanta Barai, Gondy Leroy, Arif Ahmed

This study serves as a methodological replication of Leroy et al. (2022) research, which investigated the impact of text simplification on healthcare information comprehension in t…

cs.LG2025

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance

Qingkai Zhang, L. Jeff Hong, Houmin Yan

The rapid expansion of cross-border e-commerce (CBEC) has created significant opportunities for small- and medium-sized sellers, yet financing remains a critical challenge due to t…

stat.ME2024

Bootstrap Model Averaging

Minghui Song, Guohua Zou, Alan T. K. Wan

Model averaging has gained significant attention in recent years due to its ability of fusing information from different models. The critical challenge in frequentist model averagi…

cs.LG2024★ 6 cited

Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection

Bo Qu, Zhurong Wang, Minghao Gu +4

The burgeoning e-Commerce sector requires advanced solutions for the detection of transaction fraud. With an increasing risk of financial information theft and account takeovers, d…

physics.soc-ph2024★ 5 cited

Misaligned incentives in sports: A mathematical analysis of the post-2024 UEFA Champions League qualification

László Csató, Sergey Ilyin

UEFA declares that it is committed to respecting the fundamental values of sports. However, the qualification rules of the post-2024 UEFA Champions League are shown to be unfair: a…